Assessing gender bias in conversational AI: evaluating user attitudes, ethical implications, and stereotypes in light of ChatGPT's usage
Tekaya, Balkiss (A.A. 2022/2023) Assessing gender bias in conversational AI: evaluating user attitudes, ethical implications, and stereotypes in light of ChatGPT's usage. Tesi di Laurea in Data visualization, Luiss Guido Carli, relatore Blerina Sinaimeri, pp. 63. [Master's Degree Thesis]
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Abstract/Index
Literature review. Conversational AI. Conversational AI & ethics. Stereotypes. Structural equation modeling. Conceptual model. Analysis. SEM. Python API analysis.
References
Bibliografia: pp. 53-62.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Data visualization |
| Thesis Supervisor: | Sinaimeri, Blerina |
| Thesis Co-Supervisor: | Finocchi, Irene |
| Academic Year: | 2022/2023 |
| Session: | Extraordinary |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 03 Sep 2024 14:54 |
| Last Modified: | 03 Sep 2024 14:54 |
| URI: | https://tesi.luiss.it/id/eprint/39502 |
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